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CVPR
2011
IEEE
15 years 21 days ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
CORR
2011
Springer
177views Education» more  CORR 2011»
14 years 11 months ago
Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including...
Feng Niu, Christopher Ré, AnHai Doan, Jude ...
COLING
2010
14 years 11 months ago
Enhancing Cross Document Coreference of Web Documents with Context Similarity and Very Large Scale Text Categorization
Cross Document Coreference (CDC) is the task of constructing the coreference chain for mentions of a person across a set of documents. This work offers a holistic view of using do...
Jian Huang 0002, Pucktada Treeratpituk, Sarah M. T...
COLING
2010
14 years 11 months ago
A Semantic Network Approach to Measuring Relatedness
Humans are very good at judging the strength of relationships between two terms, a task which, if it can be automated, would be useful in a range of applications. Systems attempti...
Brian Harrington
JUCS
2011
85views more  JUCS 2011»
14 years 11 months ago
Visualizing and Analyzing the Quality of XML Documents
: In this paper we introduce eXVisXML, a visual tool to explore documents annotated with the mark-up language XML, in order to easily perform over them tasks as knowledge extractio...
Daniela Carneiro da Cruz, Pedro Rangel Henriques
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